Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Mudabber Ashfaq"'
Autor:
Meead Saberi, Homayoun Hamedmoghadam, Mudabber Ashfaq, Seyed Amir Hosseini, Ziyuan Gu, Sajjad Shafiei, Divya J. Nair, Vinayak Dixit, Lauren Gardner, S. Travis Waller, Marta C. González
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
Predicting and controlling traffic congestion propagation is an ongoing challenge in most urban settings. Here, Seberi et al. apply a contagion model describing epidemic spread in population to model traffic jams, and verify its validity using large-
Externí odkaz:
https://doaj.org/article/a5b16931e6e44142b9feaf1ad7a2936b
Publikováno v:
Journal of Advanced Transportation, Vol 2021 (2021)
Simulation-based dynamic traffic assignment (DTA) models play a vital role in transportation planning and operations. While the widely studied equilibrium-seeking DTA including dynamic user equilibrium (DUE) often provides robust and consistent outco
Externí odkaz:
https://doaj.org/article/8abb41b4175446779e4612288e8669b3
Publikováno v:
Journal of Advanced Transportation, Vol 2021 (2021)
Simulation-based dynamic traffic assignment (DTA) models play a vital role in transportation planning and operations. While the widely studied equilibrium-seeking DTA including dynamic user equilibrium (DUE) often provides robust and consistent outco
Autor:
Seyed Amir Hosseini, Vinayak Dixit, Mudabber Ashfaq, Sajjad Shafiei, Marta C. González, S. Travis Waller, Homayoun Hamedmoghadam, Lauren Gardner, Meead Saberi, Divya J. Nair, Ziyuan Gu
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
Nature Communications
Nature Communications
The spread of traffic jams in urban networks has long been viewed as a complex spatio-temporal phenomenon that often requires computationally intensive microscopic models for analysis purposes. In this study, we present a framework to describe the dy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23a94238081980810d860a81698a6aca
http://arxiv.org/abs/1906.00585
http://arxiv.org/abs/1906.00585
Publikováno v:
Spatial Data Handling in Big Data Era ISBN: 9789811044236
With the growing volume of geographically referenced data, there is a need to develop new approaches for efficient storage and processing of massive spatial data. The increase in spatial data has been fueled by the growing availability of ubiquitous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::194f22da0f967908fe52326474a8e329
https://doi.org/10.1007/978-981-10-4424-3_1
https://doi.org/10.1007/978-981-10-4424-3_1